P06-08 Socio-demographic profile of physically inactive adults living in Italy according to the PASSI data

Abstract Background Insufficient physical activity (PA) or physical inactivity (PI) is one of the ten leading risk factors for global mortality. PI leads to 20-30% increased risk of all-cause mortality and monitoring its current levels and trends in general population is essential to track progress towards health targets, identify at-risk groups, assess policies' effectiveness, guide future planning. Methods PASSI (Progressi delle Aziende Sanitarie per la Salute in Italia - Progresses in ASSessing adult population health in Italy) is an ongoing cross-sectional Behavioral Risk Factor Surveillance System (BRFSS) that monitors prevalence and temporal trends for the major modifiable health-related risk factors in the adults (18-69 years) residing in Italy. Data are collected in the Local Health Units (LHU) by trained personnel who administer a standardized questionnaire telephonically to sampled people. In the period 2015-2018, 132,717 people were interviewed in more of 90% LHUs (89 out of 101 in 2018), achieving a response rate above 80%. Concerning PA/PI, respondents are classified as per the WHO indicators in: (i) Active - basing on levels achieved in leisure time and/or heavy work; (ii) Partially active - in leisure time and/or moderate work or in spare time and without regular work; (iii) Inactive - in leisure time with sedentary work or in spare time and without regular work. PASSI calculates prevalence of PA/PI overall and by socio-demographic characteristics, including 95% confidence intervals (CI), and a logistic regression model estimates adjusted prevalence ratios (APR). Results In Italy, 28.8% (CI95%:28.5-29.1%) of adult population is featured by a sedentary lifestyle: PI is greater among women (32.4% vs. 25.1%; APR: 1.26), grows with age (34% in over50 vs. 24.7% among 18-34 year-old; APR: 1.34), is higher among deprived people both per economic difficulties (41.7% if many vs. 22.4% if none; APR: 1.39) and for education level (23.7% university vs. 47.2% primary/any; APR: 1.33). We observed a highly evident geographic gradient: PI amounts to 18.3% in the North, 25.2% in the Centre and 40.6% in the South. A multivariate analysis confirms these values are statistically significant. Conclusions PASSI data provide strong evidence to support community prevention interventions on territorial planning or advice by health professionals.


Background
Walking is a main form of Physical Activity (PA) and daily step counts have been used as a tool to objectively assess PA levels and patterns in many studies. Children who accumulate less than 9000 steps per day may be considered insufficiently active (Vale et al., 2015). The aim of the present study was to determine the importance of analysing all day data when evaluating PA recommendations.

Methods
The study sample comprised 202 preschool aged children (44% girls), aged from 3 to 6 years (mean age of 4,7AE0,8 years). Steps counts were measured during 7 consecutive days using waist worn, uniaxial Actigraph accelerometers (models 7164, 71256, and GT1M). Children used the accelerometer throughout the day, being placed after waking up and removed before going to bed. In addition to the number of steps throughout weekdays (monday to friday), the number of steps during school time was analyzed. The school hours were restricted to 8 hours and half, between 9:00h and 17:30h.

Results
During all day children account 10.563 steps, 6.947 of which were recorded during school hours (p = 0.001). Looking at the entire weekday, we found that only 7% of preschool children were considered insufficiently active (9.000 steps per day). Neverthless, looking for school hours only, we found that almost half of the sample (45%) met the same recommendation. We tested for differences between all day and school day with paired t-tests.

Conclusions
When looking for step counts across the entire day vs school hours, we announced that school hours, by itself, are not steps in each day. importance of analysing preschoolers meet

Background
The Short Questionnaire to Assess Health Enhancing Physical Activity (SQUASH) is a widely used questionnaire, and used for monitoring prevalence rates of physical activity(PA) in the Netherlands. To provide a standardized protocol for data processing and analysis of the SQUASH, an analysis guide was published in 2004. However, since then, the compendium of Metabolic Equivalent (MET) values of PA has been updated, and new PA guidelines have been developed. The new PA guidelines differ from the old ones in terms of the appropriate amount of active time (150 minutes/week versus 5 days/week 30 minutes), decrease in cut-off point for moderate intensity (adults 18-54 years of age) and adding a bone-and muscle strengthening component. Therefore, the protocol for data processing and analysis of the SQUASH needs to be updated. In this study, results from the old and new protocol demonstrate the differences in adherence rates between the two sets of guidelines in the Netherlands for the adult population.

Methods
Data of a nationally representative sample of 6942 participants aged 18 years and older were used to calculate adherence to the old and the new PA guidelines by using the original and the updated protocol. In the new protocol, the MET-values of the activities including sports were adjusted according to the 2011 Compendium. Moderate intense activity was defined as ! 3.0 MET irrespective of age and the bone and muscle strengthening component was added.

Results
Adherence to the old Dutch PA guidelines is 48.1% among adults aged 18-54 years, and 74.4% among adults 55 years and